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KM-GPT: An Automated Pipeline for Reconstructing Individual Patient Data from Kaplan–Meier Plots

2025-09-19

Abstract excerpt

Reconstructing individual patient data (IPD) from Kaplan–Meier (KM) plots provides valuable insights for evidence synthesis in clinical research. However, existing approaches often rely on manual digitization, which is error-prone and lacks scalability. To address these limitations, we develop KM-GPT, the first fully automated, AI-powered pipeline for reconstructing IPD directly from KM plots with high accuracy, r...

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Identifiers and source

Literature Corpus work
f6392d58-199f-5ef7-bd17-7d78334d432b
DOI
10.1101/2025.09.15.676421
Open publication

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KM-GPT: An Automated Pipeline for Reconstructing Individual Patient Data from Kaplan–Meier PlotsDOI 10.1101/2025.09.15.676421
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